Jin Dai

5.8k citations
171 papers · 4.0k · h-index 35

Impact in

    • Venous Thromboembolism Diagnosis and Management
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Orthopaedic implants and arthroplasty 13
    • Total Knee Arthroplasty Outcomes 11
    • Hip disorders and treatments 11

Jin Dai

155 papers receiving 3.9k citations

Peers

Jin Dai
Comparison fields: 5 of 161
  • Internal Medicine 264
  • Cancer Research 678
  • Rheumatology 527
  • Endocrinology, Diabetes and Metabolism 454
  • Geriatrics and Gerontology 103
Replace Bruno Amato with:
Bruno Amato Italy
Gerd Häfner Germany
Christoph Kaun Austria
Takehiko Matsushita Japan
Duk‐Kyung Kim South Korea
Massimo Milani Italy
Liang Tang China
Tetsu Kobayashi Japan
Magnus S. Ågren Denmark
Tatu Juvonen Finland
Jin Dai relative to Bruno Amato Italy Bruno Amato's profile →
Citations per field
00.5×4.1×
Bruno Amato · 1×
Citations per year

Countries citing papers authored by Jin Dai

Since Specialization
Citations

This map shows the geographic impact of Jin Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Dai more than expected).

Fields of papers citing papers by Jin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Dai. The network helps show where Jin Dai may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin Dai Line = papers co-authored together Jin Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003289
2 2002261
3 2019147
4 1994147
5 2006122
6 2001119
7 200395
8 201791
9 200884
10 199281
11 201080
12 201470
13 199470
14 201369
15 201568
16 201162
17 199458
18 201454
19 201551
20 199449

About Jin Dai

Jin Dai is a scholar working on Surgery, Molecular Biology, Rheumatology, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 171 papers that have together received 4.0k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (20 papers), Osteoarthritis Treatment and Mechanisms (20 papers), Orthopaedic implants and arthroplasty (13 papers), Total Knee Arthroplasty Outcomes (11 papers), Hip disorders and treatments (11 papers), Atrial Fibrillation Management and Outcomes (9 papers), Inflammatory mediators and NSAID effects (9 papers) and Growth Hormone and Insulin-like Growth Factors (9 papers). The work is most often cited by research in Internal Medicine (264 citations), Cancer Research (678 citations), Rheumatology (527 citations), Endocrinology, Diabetes and Metabolism (454 citations) and Geriatrics and Gerontology (103 citations). Jin Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Andrew Churg, Robert C. Baxter, Dongquan Shi, Qing Jiang, James R. Wright, Changshi Xie, Hsin Tai, H. Thomas Hahn, Dongyang Chen and Jianghui Qin. Their work appears in journals such as BioMed Research International, Journal of Orthopaedic Surgery and Research, Blood Coagulation & Fibrinolysis, Endocrinology and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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